{"id":"W2050558485","doi":"10.1111/dme.12174","title":"Prevalence of food insecurity in patients with diabetes in western Kenya","year":2013,"lang":"en","type":"article","venue":"Diabetic Medicine","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Weyerhauser (Canada)","funders":"","keywords":"Medicine; Diabetes mellitus; Food security; Obesity; Environmental health; Food insecurity; Population; Etiology; Gerontology; Internal medicine; Endocrinology; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005213333,0.0001414007,0.0004257307,0.0002784894,0.00009012944,0.000001438361,0.0001806525,0.0001464759,0.001111594],"category_scores_gemma":[0.0004141774,0.0001067889,0.0000147961,0.0004011494,0.0001719609,0.0001530224,0.00006886937,0.0005156261,0.00007876116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000829811,"about_ca_system_score_gemma":0.00009724823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007453112,"about_ca_topic_score_gemma":0.001156138,"domain_scores_codex":[0.9977949,0.0003274334,0.0007833506,0.0002334277,0.0003482277,0.0005127009],"domain_scores_gemma":[0.9986388,0.0004592547,0.0002514276,0.0003086959,0.000192198,0.0001496136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000182381,0.0001912113,0.990497,0.001840628,0.000006038527,2.548176e-7,0.00655575,0.00000302077,0.000004881943,0.000373548,0.0002890801,0.0002203678],"study_design_scores_gemma":[0.003260887,0.0007815462,0.9916692,0.002394846,0.00001289884,8.60038e-9,0.0004134576,0.00008952049,0.000006272585,0.001187867,0.00008494594,0.00009852593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956492,0.0002348862,0.000001655763,0.001453849,0.0002293123,0.001579624,0.00002761095,0.00002024897,0.0008036007],"genre_scores_gemma":[0.998727,0.00002937835,0.00005634331,0.0007937306,0.00005467381,0.0002186704,0.00002774063,0.00001339751,0.00007907386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006142293,"threshold_uncertainty_score":0.9998015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081267630370726,"score_gpt":0.3585336140251521,"score_spread":0.2977209377214449,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}